Alessandro Pieropan

About

Alessandro Pieropan’s research lies at the intersection of robotic perception, manipulation, and human-robot interaction, with a particular focus on enabling robots to understand and interact with their environment through multiple sensory modalities. His major contributions include pioneering work on audio-visual fusion for detecting human manipulation actions (45 citations), where he demonstrated how robots can integrate sound and vision to robustly recognize activities in unstructured settings. He also developed functional object descriptors for human activity modeling (43 citations), providing a framework for robots to learn from human demonstration by capturing both motion and object roles. In the domain of object tracking, Pieropan created robust 3D tracking methods for unknown objects (24 citations) and advanced techniques for estimating the deformability of elastic materials (19 citations), enabling safer and more adaptive robotic manipulation. His more recent work addresses visual localization in ambiguous scenes and probabilistic pose regression using conditional variational autoencoders, pushing the boundaries of robot autonomy. With over 180 total citations, Pieropan’s research has significantly advanced the fields of robotic perception and manipulation, making him a notable figure in contemporary robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Audio-visual classification and detection of human manipulation actions

   45 citations · 2014
2. 2
   Functional object descriptors for human activity modeling

   43 citations · 2013
3. 3
   Robust 3D tracking of unknown objects

   24 citations · 2015
4. 4
   Estimating the deformability of elastic materials using optical flow and position-based dynamics

   19 citations · 2015
5. 5
   Estimating deformability of objects using meshless shape matching

   13 citations · 2017
6. 6
   Unsupervised object exploration using context

   8 citations · 2014
7. 7
   A Probabilistic Framework for Visual Localization in Ambiguous Scenes

   7 citations · 2023
8. 8
   Robust and adaptive keypoint-based object tracking

   4 citations · 2016
9. 9
   Conditional Variational Autoencoders for Probabilistic Pose Regression

   2 citations · 2024
10. 10
    Real-Time Semantic Stereo Matching

    2 citations · 2020

Key Collaborators

Contact & Links